Campaign Performance Analyzer helps Food & Beverage brands connect spend to sell-through – across menu items, channels, and locations. Optimize offers, timing, and creative using performance insights you can act on fast.
Why it matters
Benefits
Separate baseline demand from incremental sales to see whether a “2 for $X” bundle actually increased units, or just discounted customers who would have purchased anyway. Break results down by daypart (breakfast, lunch, late night), store cluster, and region to match how F&B demand really behaves.
Understand how campaigns change basket composition – add-ons, sides, beverages, and upsells – and quantify margin impact after discounts, delivery commissions, and COGS changes. Identify cannibalization (full-price to promo) and trade-down (premium to value) before you scale a losing offer.
Compare performance across in-store, drive-thru, web ordering, and delivery marketplaces with consistent KPIs. See which channel drives profitable incremental orders, which one just shifts demand, and where to adjust targeting, creative, and offer structure.
Track LTOs and seasonal campaigns in near real time with alerts for underperforming stores, outlier results, and inventory risk. Quickly adjust pricing, messaging, and geo targeting to avoid waste and capture peak demand windows.
Use cases
Challenge
A new spicy chicken sandwich LTO gets strong engagement on social, but stores report uneven sell-through and inconsistent attachment of fries and drinks. The team can’t tell if the campaign drove incremental traffic or simply shifted existing customers to the promo item.
Solution
Campaign Performance Analyzer measures incremental units, traffic lift, and basket attachment by store and daypart. It highlights where the LTO is cannibalizing core menu items, where upsell attach is weak, and which creatives and audiences correlate with higher-margin baskets – enabling rapid mid-flight changes.
Challenge
A brand runs a delivery app discount plus sponsored placement. Orders increase, but margins shrink due to commissions, promo funding, and smaller baskets compared to in-store.
Solution
The analyzer reconciles marketplace fees, discount funding, and average basket value to show net contribution, not just ROAS. It compares delivery vs in-store cannibalization, identifies the best-performing delivery zones, and recommends offer thresholds (minimum basket, item exclusions) to keep profitability intact.
Challenge
A beverage brand runs a price reduction and endcap campaign across a grocery chain, but results vary by region. It’s unclear whether the promo drove incremental volume or pulled forward future purchases, and whether it increased velocity enough to justify trade spend.
Solution
Campaign Performance Analyzer evaluates lift vs baseline, velocity by store cluster, and post-promo dip to quantify pull-forward. It connects promo timing to distribution and out-of-stock signals, helping teams refine trade spend, improve planograms, and prioritize regions where the promo truly grows category share.
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FAQ
It establishes a baseline using historical POS and order patterns by location, daypart, and product, then compares campaign periods to expected performance while controlling for common F&B drivers like weekends, holidays, and weather-sensitive demand. Results show incremental units, incremental revenue, and incremental margin – not just redemptions or clicks – so you can see whether an offer created new demand or discounted existing purchases.
Yes. You can analyze at the level that matters in F&B – item, size, flavor, modifier, and bundle. This makes it easy to spot whether a promo increases high-margin attachments (e.g., fries, fountain drinks, extra shot) or shifts customers toward lower-margin substitutions.
Yes. The analyzer unifies data from POS, loyalty, web ordering, and delivery marketplaces to provide consistent KPIs across channels. You can compare net performance after channel-specific costs – like delivery commissions and promo funding – and understand whether campaigns are incremental or simply shifting orders between channels.
Use store clustering and segmentation to isolate what’s different – daypart mix, local competition, weather patterns, trade area demographics, and operational factors like out-of-stocks or slow prep times. Campaign Performance Analyzer surfaces outliers and drivers so you can localize offers, adjust targeting radius, tailor creative, or pause underperforming locations while scaling the winners.
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